A survey on deep learning in medical image registration: New technologies, uncertainty, evaluation metrics, and beyond
Deep learning technologies have dramatically reshaped the field of medical image
registration over the past decade. The initial developments, such as regression-based and U …
registration over the past decade. The initial developments, such as regression-based and U …
[HTML][HTML] Learning disentangled representations in the imaging domain
Disentangled representation learning has been proposed as an approach to learning
general representations even in the absence of, or with limited, supervision. A good general …
general representations even in the absence of, or with limited, supervision. A good general …
The brain tumor sequence registration challenge: establishing correspondence between pre-operative and follow-up MRI scans of diffuse glioma patients
Registration of longitudinal brain Magnetic Resonance Imaging (MRI) scans containing
pathologies is challenging due to tissue appearance changes, and still an unsolved …
pathologies is challenging due to tissue appearance changes, and still an unsolved …
Geometry-consistent adversarial registration model for unsupervised multi-modal medical image registration
Y Liu, W Wang, Y Li, H Lai, S Huang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Deformable multi-modal medical image registration aligns the anatomical structures of
different modalities to the same coordinate system through a spatial transformation. Due to …
different modalities to the same coordinate system through a spatial transformation. Due to …
Unsupervised deformable image registration with absent correspondences in pre-operative and post-recurrence brain tumor MRI scans
Registration of pre-operative and post-recurrence brain images is often needed to evaluate
the effectiveness of brain gliomas treatment. While recent deep learning-based deformable …
the effectiveness of brain gliomas treatment. While recent deep learning-based deformable …
Robust image registration with absent correspondences in pre-operative and follow-up brain mri scans of diffuse glioma patients
Registration of pre-operative and follow-up brain MRI scans is challenging due to the large
variation of tissue appearance and missing correspondences in tumour recurrence regions …
variation of tissue appearance and missing correspondences in tumour recurrence regions …
Weighted Metamorphosis for registration of images with different topologies
We present an extension of the Metamorphosis algorithm to align images with different
topologies and/or appearances. We propose to restrict/limit the metamorphic intensity …
topologies and/or appearances. We propose to restrict/limit the metamorphic intensity …
Deformation registration based on reconstruction of brain MRI images with pathologies
L Lian, Q Chang - Medical & Biological Engineering & Computing, 2025 - Springer
Deformable registration between brain tumor images and brain atlas has been an important
tool to facilitate pathological analysis. However, registration of images with tumors is …
tool to facilitate pathological analysis. However, registration of images with tumors is …
Measuring Orthogonality in Representations of Generative Models
In unsupervised representation learning, models aim to distill essential features from high-
dimensional data into lower-dimensional learned representations, guided by inductive …
dimensional data into lower-dimensional learned representations, guided by inductive …
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review
Image registration is fundamental in medical imaging applications, such as disease
progression analysis or radiation therapy planning. The primary objective of image …
progression analysis or radiation therapy planning. The primary objective of image …